reportefinal

Dataset statistics

Number of variables	12
Number of observations	1460
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	102.8 KiB
Average record size in memory	72.1 B

Variable types

Numeric	8
Categorical	4

Warnings

`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 2 other fields	High correlation
`GrLivArea` is highly correlated with `1stFlrSF` and 2 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`GarageArea` is highly correlated with `SalePrice`	High correlation
`SalePrice` is highly correlated with `TotalBsmtSF` and 4 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`GrLivArea` is highly correlated with `TotRmsAbvGrd` and 1 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `GrLivArea` and 1 other fields	High correlation
`GarageArea` is highly correlated with `SalePrice`	High correlation
`SalePrice` is highly correlated with `TotalBsmtSF` and 4 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF`	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF`	High correlation
`GrLivArea` is highly correlated with `SalePrice`	High correlation
`SalePrice` is highly correlated with `GrLivArea`	High correlation
`TotalBsmtSF` is highly correlated with `GarageArea` and 4 other fields	High correlation
`GarageArea` is highly correlated with `TotalBsmtSF` and 7 other fields	High correlation
`HouseStyle` is highly correlated with `TotRmsAbvGrd` and 2 other fields	High correlation
`SalePrice` is highly correlated with `TotalBsmtSF` and 9 other fields	High correlation
`FullBath` is highly correlated with `SalePrice` and 6 other fields	High correlation
`GarageCars` is highly correlated with `GarageArea` and 6 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `HouseStyle` and 5 other fields	High correlation
`GrLivArea` is highly correlated with `TotalBsmtSF` and 9 other fields	High correlation
`Neighborhood` is highly correlated with `GarageArea` and 8 other fields	High correlation
`YearBuilt` is highly correlated with `GarageArea` and 7 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 5 other fields	High correlation
`OverallQual` is highly correlated with `TotalBsmtSF` and 8 other fields	High correlation
`TotalBsmtSF` has 37 (2.5%) zeros	Zeros
`GarageArea` has 81 (5.5%) zeros	Zeros

Reproduction

Analysis started	2021-07-31 00:51:14.484215
Analysis finished	2021-07-31 00:51:20.862386
Duration	6.38 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

YearBuilt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	112
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1971.267808

Minimum	1872
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1872
5-th percentile	1916
Q1	1954
median	1973
Q3	2000
95-th percentile	2007
Maximum	2010
Range	138
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	30.20290404
Coefficient of variation (CV)	0.01532156307
Kurtosis	-0.4395519416
Mean	1971.267808
Median Absolute Deviation (MAD)	25
Skewness	-0.6134611725
Sum	2878051
Variance	912.2154126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2007	49	3.4%
2003	45	3.1%
1976	33	2.3%
1977	32	2.2%
1920	30	2.1%
1959	26	1.8%
1998	25	1.7%
Other values (102)	1035	70.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1872	1	0.1%
1875	1	0.1%
1880	4	0.3%
1882	1	0.1%
1885	2	0.1%
1890	2	0.1%
1892	2	0.1%
1893	1	0.1%
1898	1	0.1%
1900	10	0.7%

Value	Count	Frequency (%)
2010	1	0.1%
2009	18	1.2%
2008	23	1.6%
2007	49	3.4%
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2003	45	3.1%
2002	23	1.6%
2001	20	1.4%

Neighborhood
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

NAmes	225
CollgCr	150
OldTown	113
Edwards	100
Somerst	86
Other values (20)	786

Length

Max length	7
Median length	7
Mean length	6.494520548
Min length	5

Characters and Unicode

Total characters	9482
Distinct characters	38
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CollgCr
2nd row	Veenker
3rd row	CollgCr
4th row	Crawfor
5th row	NoRidge

Common Values

Value	Count	Frequency (%)
NAmes	225	15.4%
CollgCr	150	10.3%
OldTown	113	7.7%
Edwards	100	6.8%
Somerst	86	5.9%
Gilbert	79	5.4%
NridgHt	77	5.3%
Sawyer	74	5.1%
NWAmes	73	5.0%
SawyerW	59	4.0%
Other values (15)	424	29.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
names	225	15.4%
collgcr	150	10.3%
oldtown	113	7.7%
edwards	100	6.8%
somerst	86	5.9%
gilbert	79	5.4%
nridght	77	5.3%
sawyer	74	5.1%
nwames	73	5.0%
sawyerw	59	4.0%
Other values (15)	424	29.0%

Most occurring characters

Value	Count	Frequency (%)
r	931	9.8%
e	905	9.5%
l	622	6.6%
d	506	5.3%
s	486	5.1%
o	483	5.1%
m	439	4.6%
N	425	4.5%
w	414	4.4%
C	407	4.3%
Other values (28)	3864	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6764	71.3%
Uppercase Letter	2718	28.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	931	13.8%
e	905	13.4%
l	622	9.2%
d	506	7.5%
s	486	7.2%
o	483	7.1%
m	439	6.5%
w	414	6.1%
i	351	5.2%
a	345	5.1%
Other values (10)	1282	19.0%

Uppercase Letter

Value	Count	Frequency (%)
N	425	15.6%
C	407	15.0%
S	352	13.0%
A	298	11.0%
T	188	6.9%
W	157	5.8%
O	150	5.5%
B	118	4.3%
R	115	4.2%
E	100	3.7%
Other values (8)	408	15.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9482	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	931	9.8%
e	905	9.5%
l	622	6.6%
d	506	5.3%
s	486	5.1%
o	483	5.1%
m	439	4.6%
N	425	4.5%
w	414	4.4%
C	407	4.3%
Other values (28)	3864	40.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9482	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	931	9.8%
e	905	9.5%
l	622	6.6%
d	506	5.3%
s	486	5.1%
o	483	5.1%
m	439	4.6%
N	425	4.5%
w	414	4.4%
C	407	4.3%
Other values (28)	3864	40.8%

FullBath
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.8 KiB

2	768
1	650
3	33
0	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1460
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Most occurring characters

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1460	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1460	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

HouseStyle
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1Story	726
2Story	445
1.5Fin	154
SLvl	65
SFoyer	37
Other values (3)	33

Length

Max length	6
Median length	6
Mean length	5.910958904
Min length	4

Characters and Unicode

Total characters	8630
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2Story
2nd row	1Story
3rd row	2Story
4th row	2Story
5th row	2Story

Common Values

Value	Count	Frequency (%)
1Story	726	49.7%
2Story	445	30.5%
1.5Fin	154	10.5%
SLvl	65	4.5%
SFoyer	37	2.5%
1.5Unf	14	1.0%
2.5Unf	11	0.8%
2.5Fin	8	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1story	726	49.7%
2story	445	30.5%
1.5fin	154	10.5%
slvl	65	4.5%
sfoyer	37	2.5%
1.5unf	14	1.0%
2.5unf	11	0.8%
2.5fin	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
S	1273	14.8%
o	1208	14.0%
r	1208	14.0%
y	1208	14.0%
t	1171	13.6%
1	894	10.4%
2	464	5.4%
F	199	2.3%
.	187	2.2%
5	187	2.2%
Other values (8)	631	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5336	61.8%
Uppercase Letter	1562	18.1%
Decimal Number	1545	17.9%
Other Punctuation	187	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1208	22.6%
r	1208	22.6%
y	1208	22.6%
t	1171	21.9%
n	187	3.5%
i	162	3.0%
v	65	1.2%
l	65	1.2%
e	37	0.7%
f	25	0.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1273	81.5%
F	199	12.7%
L	65	4.2%
U	25	1.6%

Decimal Number

Value	Count	Frequency (%)
1	894	57.9%
2	464	30.0%
5	187	12.1%

Other Punctuation

Value	Count	Frequency (%)
.	187	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6898	79.9%
Common	1732	20.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	1273	18.5%
o	1208	17.5%
r	1208	17.5%
y	1208	17.5%
t	1171	17.0%
F	199	2.9%
n	187	2.7%
i	162	2.3%
L	65	0.9%
v	65	0.9%
Other values (4)	152	2.2%

Common

Value	Count	Frequency (%)
1	894	51.6%
2	464	26.8%
.	187	10.8%
5	187	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	1273	14.8%
o	1208	14.0%
r	1208	14.0%
y	1208	14.0%
t	1171	13.6%
1	894	10.4%
2	464	5.4%
F	199	2.3%
.	187	2.2%
5	187	2.2%
Other values (8)	631	7.3%

OverallQual
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	10
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.099315068

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.382996547
Coefficient of variation (CV)	0.2267462053
Kurtosis	0.09629277836
Mean	6.099315068
Median Absolute Deviation (MAD)	1
Skewness	0.2169439278
Sum	8905
Variance	1.912679448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
4	116	7.9%
9	43	2.9%
3	20	1.4%
10	18	1.2%
2	3	0.2%
1	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.1%
2	3	0.2%
3	20	1.4%
4	116	7.9%
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
9	43	2.9%
10	18	1.2%

Value	Count	Frequency (%)
10	18	1.2%
9	43	2.9%
8	168	11.5%
7	319	21.8%
6	374	25.6%
5	397	27.2%
4	116	7.9%
3	20	1.4%
2	3	0.2%
1	2	0.1%

TotalBsmtSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	721
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1057.429452

Minimum	0
Maximum	6110
Zeros	37
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	519.3
Q1	795.75
median	991.5
Q3	1298.25
95-th percentile	1753
Maximum	6110
Range	6110
Interquartile range (IQR)	502.5

Descriptive statistics

Standard deviation	438.7053245
Coefficient of variation (CV)	0.4148790481
Kurtosis	13.25048328
Mean	1057.429452
Median Absolute Deviation (MAD)	234.5
Skewness	1.524254549
Sum	1543847
Variance	192462.3617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37	2.5%
864	35	2.4%
672	17	1.2%
912	15	1.0%
1040	14	1.0%
816	13	0.9%
768	12	0.8%
728	12	0.8%
894	11	0.8%
780	11	0.8%
Other values (711)	1283	87.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	2.5%
105	1	0.1%
190	1	0.1%
264	3	0.2%
270	1	0.1%
290	1	0.1%
319	1	0.1%
360	1	0.1%
372	1	0.1%
384	7	0.5%

Value	Count	Frequency (%)
6110	1	0.1%
3206	1	0.1%
3200	1	0.1%
3138	1	0.1%
3094	1	0.1%
2633	1	0.1%
2524	1	0.1%
2444	1	0.1%
2396	1	0.1%
2392	1	0.1%

1stFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	753
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1162.626712

Minimum	334
Maximum	4692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	672.95
Q1	882
median	1087
Q3	1391.25
95-th percentile	1831.25
Maximum	4692
Range	4358
Interquartile range (IQR)	509.25

Descriptive statistics

Standard deviation	386.587738
Coefficient of variation (CV)	0.3325123481
Kurtosis	5.745841482
Mean	1162.626712
Median Absolute Deviation (MAD)	234.5
Skewness	1.376756622
Sum	1697435
Variance	149450.0792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	25	1.7%
1040	16	1.1%
912	14	1.0%
894	12	0.8%
848	12	0.8%
672	11	0.8%
630	9	0.6%
816	9	0.6%
483	7	0.5%
960	7	0.5%
Other values (743)	1338	91.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
372	1	0.1%
438	1	0.1%
480	1	0.1%
483	7	0.5%
495	1	0.1%
520	5	0.3%
525	1	0.1%
526	1	0.1%
536	1	0.1%

Value	Count	Frequency (%)
4692	1	0.1%
3228	1	0.1%
3138	1	0.1%
2898	1	0.1%
2633	1	0.1%
2524	1	0.1%
2515	1	0.1%
2444	1	0.1%
2411	1	0.1%
2402	1	0.1%

GrLivArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	861
Distinct (%)	59.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1515.463699

Minimum	334
Maximum	5642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	848
Q1	1129.5
median	1464
Q3	1776.75
95-th percentile	2466.1
Maximum	5642
Range	5308
Interquartile range (IQR)	647.25

Descriptive statistics

Standard deviation	525.4803834
Coefficient of variation (CV)	0.3467456092
Kurtosis	4.895120581
Mean	1515.463699
Median Absolute Deviation (MAD)	326
Skewness	1.366560356
Sum	2212577
Variance	276129.6334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	22	1.5%
1040	14	1.0%
894	11	0.8%
1456	10	0.7%
848	10	0.7%
1200	9	0.6%
912	9	0.6%
816	8	0.5%
1092	8	0.5%
1728	7	0.5%
Other values (851)	1352	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
438	1	0.1%
480	1	0.1%
520	1	0.1%
605	1	0.1%
616	1	0.1%
630	6	0.4%
672	2	0.1%
691	1	0.1%
693	1	0.1%

Value	Count	Frequency (%)
5642	1	0.1%
4676	1	0.1%
4476	1	0.1%
4316	1	0.1%
3627	1	0.1%
3608	1	0.1%
3493	1	0.1%
3447	1	0.1%
3395	1	0.1%
3279	1	0.1%

TotRmsAbvGrd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.517808219

Minimum	2
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	10
Maximum	14
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.625393291
Coefficient of variation (CV)	0.2493772808
Kurtosis	0.8807615657
Mean	6.517808219
Median Absolute Deviation (MAD)	1
Skewness	0.6763408364
Sum	9516
Variance	2.641903349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	402	27.5%
7	329	22.5%
5	275	18.8%
8	187	12.8%
4	97	6.6%
9	75	5.1%
10	47	3.2%
11	18	1.2%
3	17	1.2%
12	11	0.8%
Other values (2)	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	0.1%
3	17	1.2%
4	97	6.6%
5	275	18.8%
6	402	27.5%
7	329	22.5%
8	187	12.8%
9	75	5.1%
10	47	3.2%
11	18	1.2%

Value	Count	Frequency (%)
14	1	0.1%
12	11	0.8%
11	18	1.2%
10	47	3.2%
9	75	5.1%
8	187	12.8%
7	329	22.5%
6	402	27.5%
5	275	18.8%
4	97	6.6%

GarageArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	441
Distinct (%)	30.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	472.980137

Minimum	0
Maximum	1418
Zeros	81
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	334.5
median	480
Q3	576
95-th percentile	850.1
Maximum	1418
Range	1418
Interquartile range (IQR)	241.5

Descriptive statistics

Standard deviation	213.8048415
Coefficient of variation (CV)	0.452037675
Kurtosis	0.9170672023
Mean	472.980137
Median Absolute Deviation (MAD)	120
Skewness	0.1799809067
Sum	690551
Variance	45712.51023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	81	5.5%
440	49	3.4%
576	47	3.2%
240	38	2.6%
484	34	2.3%
528	33	2.3%
288	27	1.8%
400	25	1.7%
264	24	1.6%
480	24	1.6%
Other values (431)	1078	73.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	81	5.5%
160	2	0.1%
164	1	0.1%
180	9	0.6%
186	1	0.1%
189	1	0.1%
192	1	0.1%
198	1	0.1%
200	4	0.3%
205	3	0.2%

Value	Count	Frequency (%)
1418	1	0.1%
1390	1	0.1%
1356	1	0.1%
1248	1	0.1%
1220	1	0.1%
1166	1	0.1%
1134	1	0.1%
1069	1	0.1%
1053	1	0.1%
1052	2	0.1%

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	663
Distinct (%)	45.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180921.1959

Minimum	34900
Maximum	755000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	34900
5-th percentile	88000
Q1	129975
median	163000
Q3	214000
95-th percentile	326100
Maximum	755000
Range	720100
Interquartile range (IQR)	84025

Descriptive statistics

Standard deviation	79442.50288
Coefficient of variation (CV)	0.4391000319
Kurtosis	6.53628186
Mean	180921.1959
Median Absolute Deviation (MAD)	38000
Skewness	1.88287576
Sum	264144946
Variance	6311111264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140000	20	1.4%
135000	17	1.2%
155000	14	1.0%
145000	14	1.0%
190000	13	0.9%
110000	13	0.9%
115000	12	0.8%
160000	12	0.8%
130000	11	0.8%
139000	11	0.8%
Other values (653)	1323	90.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34900	1	0.1%
35311	1	0.1%
37900	1	0.1%
39300	1	0.1%
40000	1	0.1%
52000	1	0.1%
52500	1	0.1%
55000	2	0.1%
55993	1	0.1%
58500	1	0.1%

Value	Count	Frequency (%)
755000	1	0.1%
745000	1	0.1%
625000	1	0.1%
611657	1	0.1%
582933	1	0.1%
556581	1	0.1%
555000	1	0.1%
538000	1	0.1%
501837	1	0.1%
485000	1	0.1%

GarageCars
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.8 KiB

2	824
1	369
3	181
0	81
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1460
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1460	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1460	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1460	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	YearBuilt	Neighborhood	FullBath	HouseStyle	OverallQual	TotalBsmtSF	1stFlrSF	GrLivArea	TotRmsAbvGrd	GarageArea	SalePrice	GarageCars
0	2003	CollgCr	2	2Story	7	856	856	1710	8	548	208500	2
1	1976	Veenker	2	1Story	6	1262	1262	1262	6	460	181500	2
2	2001	CollgCr	2	2Story	7	920	920	1786	6	608	223500	2
3	1915	Crawfor	1	2Story	7	756	961	1717	7	642	140000	3
4	2000	NoRidge	2	2Story	8	1145	1145	2198	9	836	250000	3
5	1993	Mitchel	1	1.5Fin	5	796	796	1362	5	480	143000	2
6	2004	Somerst	2	1Story	8	1686	1694	1694	7	636	307000	2
7	1973	NWAmes	2	2Story	7	1107	1107	2090	7	484	200000	2
8	1931	OldTown	2	1.5Fin	7	952	1022	1774	8	468	129900	2
9	1939	BrkSide	1	1.5Unf	5	991	1077	1077	5	205	118000	1

Last rows

	YearBuilt	Neighborhood	FullBath	HouseStyle	OverallQual	TotalBsmtSF	1stFlrSF	GrLivArea	TotRmsAbvGrd	GarageArea	SalePrice	GarageCars
1450	1974	NAmes	2	2Story	5	896	896	1792	8	0	136000	0
1451	2008	Somerst	2	1Story	8	1573	1578	1578	7	840	287090	3
1452	2005	Edwards	1	SLvl	5	547	1072	1072	5	525	145000	2
1453	2006	Mitchel	1	1Story	5	1140	1140	1140	6	0	84500	0
1454	2004	Somerst	2	1Story	7	1221	1221	1221	6	400	185000	2
1455	1999	Gilbert	2	2Story	6	953	953	1647	7	460	175000	2
1456	1978	NWAmes	2	1Story	6	1542	2073	2073	7	500	210000	2
1457	1941	Crawfor	2	2Story	7	1152	1188	2340	9	252	266500	1
1458	1950	NAmes	1	1Story	5	1078	1078	1078	5	240	142125	1
1459	1965	Edwards	1	1Story	5	1256	1256	1256	6	276	147500	1

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows